EPIC Practice Based Learning Network - Stage 1: Population-level descriptive-exploratory study

Artificial intelligence (AI) and related decision-support tools show remarkable potential for using data to empower quality improvement and tailoring of programs and services to meet client and community needs. [...] The project started with a large-scale descriptive epidemiology study to better understand CHC EMR data and how clients are represented in it, and to learn about health and care characteristics of the population being served by CHCs. [...] Discussions about predictive performance and intended use of the associated insights highlighted strong potential for this type of tool to be developed and benefit the health system. [...] Given the novelty of this project and several possible next steps, we paused to reflect and to share our work, as it may inform future CHC EMR initiatives and those at similar primary health care organizations. [...] The work completed so far will contribute to a tool to support diabetes and mental health care, and it lays groundwork for future CHC AI and EMR data initiatives.